OPTIONS FOR SOLID POINT TARGET DETECTION IN HYPERSPECTRAL DATA

被引：0
|
作者：
Yurkovetsky, Eliad [1 ]
Rotman, Stanley R. [1 ]
机构：
[1] Ben Gurion Univ Negev, Sch Elect & Comp Engn, Beer Sheva, Israel
来源：
IGARSS 2023 - 2023 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM | 2023年
关键词：
hyperspectral; point target detection; covariance matrix;
D O I：
10.1109/IGARSS52108.2023.10281974
中图分类号：
P [天文学、地球科学];
学科分类号：
07 ;
摘要：
Adaptive target detection algorithms need to estimate parameters before the actual calculation of the metric for target detection. For solid subpixel targets in hyperspectral data, we consider two algorithms for effective detection. The first algorithm uses explicitly only background estimation; the second estimates both the background and the target fraction in the pixel. We compare the performance of each algorithm; we also consider the need to alter the estimated covariance matrix based on the estimated target fraction.
引用
收藏
页码：2270 / 2273
页数：4
相关论文
共 50 条
  • [1] IMPROVED COVARIANCE MATRICES FOR POINT TARGET DETECTION IN HYPERSPECTRAL DATA
    Sofer, Y.
    Geva, E.
    Rotman, S. R.
    [J]. IEEE INTERNATIONAL CONFERENCE ON MICROWAVES, COMMUNICATIONS, ANTENNAS AND ELECTRONICS SYSTEMS (COMCAS 2009), 2009,
  • [2] Improved covariance matrices for point target detection in hyperspectral data
    Caefer, Charlene E.
    Silverman, Jerry
    Orthal, Oded
    Antonelli, Dani
    Sharoni, Yaron
    Rotman, Stanley R.
    [J]. OPTICAL ENGINEERING, 2008, 47 (07)
  • [3] Applying ordered statistic filters for point target detection in hyperspectral data
    Raviv, O
    Rotman, SR
    [J]. SIGNAL AND DATA PROCESSING OF SMALL TARGETS 2003, 2003, 5204 : 35 - 40
  • [4] Algorithms for point target detection in hyperspectral imagery
    Caefer, CE
    Rotman, SR
    Silverman, J
    Yip, PW
    [J]. IMAGING SPECTROMETRY VIII, 2002, 4816 : 242 - 257
  • [5] Stochastic target detection for hyperspectral data
    Hoff, LE
    Beaven, SG
    Coolbaugh, E
    Winter, EM
    [J]. CONFERENCE RECORD OF THE THIRTY-FOURTH ASILOMAR CONFERENCE ON SIGNALS, SYSTEMS & COMPUTERS, 2000, : 161 - 164
  • [6] STATIONARY COVARIANCE MATRICES FOR HYPERSPECTRAL POINT TARGET DETECTION
    Furth, Yoram
    Falik, Adi
    Rotman, Stanley R.
    [J]. IGARSS 2018 - 2018 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM, 2018, : 4245 - 4248
  • [7] Assessment of target detection limits in hyperspectral data
    Gross, W.
    Boehler, J.
    Schilling, H.
    Middelmann, W.
    Weyermann, J.
    Wellig, P.
    Oechslin, R.
    Kneubuehler, M.
    [J]. TARGET AND BACKGROUND SIGNATURES, 2015, 9653
  • [8] HYPERSPECTRAL ANOMALY DETECTION WITH DATA SPHERING AND UNSUPERVISED TARGET DETECTION
    Chen, Shuhan
    Li, Xiaorun
    Zhao, Liaoying
    [J]. 2022 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS 2022), 2022, : 1975 - 1978
  • [9] Data field modeling and data description for hyperspectral target detection
    Liu, Da
    Li, Jianxun
    [J]. JOURNAL OF APPLIED REMOTE SENSING, 2016, 10
  • [10] Data field modeling and data description for hyperspectral target detection
    [J]. Liu, Da (oliver8641@sjtu.edu.cn), 1600, SPIE (10):
12345